3 papers
cs.CV2026
A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
Haodong Pan, Hao Wei, Yusong Wang +2
Learned image compression (LIC) has recently benefited from Transformer- and state space models (SSM)- based backbones for modeling long-range dependencies. However, the former typ…
cs.LG2025
Riemannian Consistency Model
Chaoran Cheng, Yusong Wang, Yuxin Chen +3
Consistency models are a class of generative models that enable few-step generation for diffusion and flow matching models. While consistency models have achieved promising results…
cs.LG2025
MCGM: Multi-stage Clustered Global Modeling for Long-range Interactions in Molecules
Haodong Pan, Yusong Wang, Nanning Zheng +1
Geometric graph neural networks (GNNs) excel at capturing molecular geometry, yet their locality-biased message passing hampers the modeling of long-range interactions. Current sol…